data scientist – geospatial remote sensing / satellite analytics

we are looking for a data scientist with strong experience in geospatial remote sensing to build ai/ml models for satellite-based change detection and early-warning systems. The idóneo candidate should have hands-on expertise with sentinel-1 (sar) & sentinel-2 imagery , python , pytorch , and geospatial data processing to detect terrain changes, pipeline displacement, and sand encroachment.

must-have skills:

- hands-on experience in geospatial remote sensing and satellite imagery analysis
- strong python skills ( numpy, rasterio/gdal, xarray, geopandas, shapely, scikit-image )
- experience working with sentinel-1 (sar) & sentinel-2 imagery
- deep learning using pytorch , including transfer learning, lora/peft
- experience with change detection,



time-series analysis, model validation (roc/auc), and geospatial data processing
- good understanding of coordinate reference systems (crs), reprojection, and remote sensing workflows

nice to have:

- insar/sar offset tracking (snap, isce)
- geospatial foundation models (prithvi-eo, terratorch)
- copernicus/cdse, sentinel hub, stac
- mlops, cloud, and geospatial data pipelines
- space tech, earth observation, oil & gas, or pipeline monitoring experience

education: msc/phd in remote sensing, geospatial science, earth observation, computer science/machine learning, physics, or equivalent practical experience.

📌 Data scientist (Xico)
🏢 Pyramid Consulting
📍 Xico